Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real

Autores:: Martínez-Escudero, Juan
Muñoz-Buzeta, Romina
Salinas-Barrera, Vicente

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
title	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
spellingShingle	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real Análisis en tiempo real Cinética de biopolímeros Caracterización de biofluidos Respuesta ultrasónica Software de código abierto Transductores ultrasónicos Biofluid characterization Biopolymer kinetics Open-source software Real-time analysis Ultrasonic response Ultrasonic transducers
title_short	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
title_full	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
title_fullStr	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
title_full_unstemmed	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
title_sort	Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real
dc.creator.fl_str_mv	Martínez-Escudero, Juan Muñoz-Buzeta, Romina Salinas-Barrera, Vicente
dc.contributor.author.eng.fl_str_mv	Martínez-Escudero, Juan Muñoz-Buzeta, Romina Salinas-Barrera, Vicente
dc.subject.none.fl_str_mv	Análisis en tiempo real Cinética de biopolímeros Caracterización de biofluidos Respuesta ultrasónica Software de código abierto Transductores ultrasónicos Biofluid characterization Biopolymer kinetics Open-source software Real-time analysis Ultrasonic response Ultrasonic transducers
topic	Análisis en tiempo real Cinética de biopolímeros Caracterización de biofluidos Respuesta ultrasónica Software de código abierto Transductores ultrasónicos Biofluid characterization Biopolymer kinetics Open-source software Real-time analysis Ultrasonic response Ultrasonic transducers
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-05-23 00:00:00 2026-04-16T17:47:35Z
dc.date.available.none.fl_str_mv	2025-05-23 00:00:00
dc.date.issued.none.fl_str_mv	2025-05-23
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.local.eng.fl_str_mv	Journal article
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url	https://repositorio.uptc.edu.co/handle/001/21583 https://doi.org/10.19053/uptc.01211129.v33.n70.2024.18024
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dc.relation.references.none.fl_str_mv	R. Muñoz et al., “Ultrasonic Sensor: A Fast and Non-Destructive System to Measure the Viscosity and Density of Molecular Fluids,” Biosensors (Basel), vol. 14, no. 7, e346, Jul. 2024. https://doi.org/10.3390/bios14070346 M. Evander et al., “Noninvasive Acoustic Cell Trapping in a Microfluidic Perfusion System for Online Bioassays,” Analytical Chemistry, vol. 79, no. 7, pp. 2984-2991, Apr. 2007. https://doi.org/10.1021/ac061576v B. Godber et al., “Direct Quantification of Analyte Concentration by Resonant Acoustic Profiling,” Clinical Chemistry, vol. 51, no. 10, pp. 1962-1972, Oct. 2005. https://doi.org/10.1373/clinchem.2005.053249 F. Sarry, M. I. Rocha-Gaso, A. Renaudin, D. Beyssen, M. Oudich, P. Charette, “In situ characterization of biofluid using an optimized hybrid acousto-optic sensor array on a microfluidic cell,” in IEEE Sensors, Oct. 2017, pp. 1-3. https://doi.org/10.1109/ICSENS.2017.8234344 P. Li, T. J. Huang, “Applications of Acoustofluidics in Bioanalytical Chemistry,” Analytical Chemistry, vol. 91, no. 1, pp. 757-767, Jan. 2019. https://doi.org/10.1021/acs.analchem.8b03786 Y. Hou, F. Mao, Y. Wu, Y. Zhu, H. Zhang, “Broadband tunable acoustic impedance matching using gradient-distributed piezoelectric structure,” Applied Physics Letters, vol. 124, no. 15, e203019, Apr. 2024. https://doi.org/10.1063/5.0203019 V. Ostasevicius et al., “Development of a Low-Frequency Piezoelectric Ultrasonic Transducer for Biological Tissue Sonication,” Sensors, vol. 23, no. 7, e3608, Mar. 2023. https://doi.org/10.3390/s23073608 C. Liu, F. T. Djuth, Q. Zhou, K. K. Shung, “Micromachining techniques in developing high-frequency piezoelectric composite ultrasonic array transducers,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 60, no. 12, pp. 2615-2625, Dec. 2013. https://doi.org/010.1109/TUFFC.2013.2860 P. Muralt et al., “Piezoelectric micromachined ultrasonic transducers based on PZT thin films,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 52, no. 12, pp. 2276-2288, Dec. 2005. https://doi.org/10.1109/TUFFC.2005.1563270 F. Akasheh, J. D. Fraser, S. Bose, A. Bandyopadhyay, “Piezoelectric micromachined ultrasonic transducers: modeling the influence of structural parameters on device performance,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 52, no. 3, pp. 455-468, Mar. 2005. https://doi.org/10.1109/TUFFC.2005.1417268 D. D. Bennink, “Characterization of Ultrasonic Immersion Transducers,” in Review of Progress in Quantitative Nondestructive Evaluation, Boston, MA: Springer US, 1990, pp. 781-788. https://doi.org/10.1007/978-1-4684-5772-8_98 S. Takahashi, Y. Sasaki, M. Umeda, K. Nakamura, S. Ueha, “Nonlinear behavior in piezoelectric ceramic transducers,” in 12th IEEE International Symposium on Applications of Ferroelectrics, 2000, pp. 11-16. https://doi.org/10.1109/ISAF.2000.941503 E. Riera, J. A. Gallego-Juárez, A. Blanco, V. M. Acosta, “Power characterization of ultrasonic piezoelectric transducers,” in Proceedings of the Interntional Congress on Ultrasonics, Vienna University of Technology, 2007. https://doi.org/10.3728/ICUltrasonics.2007.Vienna.1435_riera J. Ling et al., “Design and Characterization of High-Density Ultrasonic Transducer Array,” IEEE Sensors Journal, vol. 18, no. 6, pp. 2285–2290, Mar. 2018. https://doi.org/10.1109/JSEN.2018.2797222 A. S. Savoia, B. Mauti, G. Caliano, “Accurate evaluation of the electro-mechanical and parasitic parameters of CMUTs through electrical impedance characterization,” in IEEE International Ultrasonics Symposium (IUS), IEEE, Sep. 2017. https://doi.org/10.1109/ULTSYM.2017.8092910 J. M. Pearce, “The Future of Open-Source Hardware and Science,” in Open-Source Lab, Elsevier, 2014, pp. 255-263. https://doi.org/10.1016/B978-0-12-410462-4.00007-X J. M. Pearce, “Building Research Equipment with Free, Open-Source Hardware,” Science (1979), vol. 337, no. 6100, pp. 1303-1304, Sep. 2012. https://doi.org/10.1126/science.1228183 C. Zhang, N. C. Anzalone, R. P. Faria, J. M. Pearce, “Open-Source 3D-Printable Optics Equipment,” PLoS One, vol. 8, no. 3, e59840, Mar. 2013. https://doi.org/10.1371/journal.pone.0059840 R. L. Tanner, K. L. Onthank, “Open Source Solutions in Experimental Design: An Introduction to the Symposium,” Integrative and Comparative Biology, vol. 62, no. 4, pp. 1056-1060, Oct. 2022. https://doi.org/10.1093/icb/icac132 G. J. Stallman, Free Software, Free Society: Selected Essays of Richard M. Stallman. CreateSpace, 2009. F. L. van Rossum, The Python Language Reference Manual. Network Theory Ltd., 2011. L. J. Koerner, T. A. Caswell, D. B. Allan, S. I. Campbell, “A Python Instrument Control and Data Acquisition Suite for Reproducible Research,” IEEE Transaction on Instrumentation and Measurement, vol. 69, no. 4, pp. 1698-1707, Apr. 2020. https://doi.org/10.1109/TIM.2019.2914711 B. Bayram, “Diamond-based capacitive micromachined ultrasonic transducers,” Diamond Related Materials, vol. 22, pp. 6-11, Feb. 2012. https://doi.org/10.1016/j.diamond.2011.11.006 B. M. Pardi et al., “pyQCM-BraTaDio: A tool for visualization, data mining, and modelling of Quartz crystal microbalance with dissipation data,” The Journal of Open Source Software, 2023. https://doi.org/10.1101/2023.12.15.571789 . A. Alsabbagh, A. N. Nasser, G. Husi, “Python-Based Data Analysis Tool for a 6-DoF Industrial Robot,” IOP Conference Series: Material Science and Engineering, vol. 568, no. 1, e012098, Aug. 2019. https://doi.org/10.1088/1757-899X/568/1/012098 R. Shiavi, “Theory and application of cross correlation and coherence,” in Introduction to Applied Statistical Signal Analysis, Elsevier, 2007, pp. 331-366. https://doi.org/10.1016/B978-012088581-7/50026-1 C. R. Harris et al., “Array programming with NumPy,” Nature, vol. 585, no. 7825, pp. 357-362, Sep. 2020. https://doi.org/10.1038/s41586-020-2649-2 N. Gilbert, J. Fleming, “Direct form expansion of the transfer function for a digital Butterworth low-pass filter,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 30, no. 6, pp. 1004-1006, Dec. 1982. https://doi.org/10.1109/TASSP.1982.1163993 P. Virtanen et al., “SciPy 1.0: fundamental algorithms for scientific computing in Python,” Nature Methods, vol. 17, no. 3, pp. 261-272, Mar. 2020. https://doi.org/10.1038/s41592-019-0686-2 J. A. Jones, D. K. Wilkins, L. J. Smith, C. M. Dobson, “Characterisation of protein unfolding by NMR diffusion measurements,” Journal of Biomolecular NMR, vol. 10, no. 2, pp. 199–203, 1997. https://doi.org/10.1023/A:1018304117895 J. A. Izaac, J. B. Wang, “pyCTQW: A continuous-time quantum walk simulator on distributed memory computers,” Computer Physics Communication, vol. 186, pp. 81-92, Jan. 2015. https://doi.org/10.1016/j.cpc.2014.09.011 N. Wagner, Theory and Applications of Colloidal Suspension Rheology. Cambridge University Press, 2021. M. A. Pindrus, J. L. Cole, J. Kaur, S. J. Shire, S. Yadav, D. S. Kalonia, “Effect of Aggregation on the Hydrodynamic Properties of Bovine Serum Albumin,” Pharmaceutical Research, vol. 34, no. 11, pp. 2250-2259, Nov. 2017. https://doi.org/10.1007/s11095-017-2231-2
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dc.relation.citationedition.eng.fl_str_mv	Núm. 70 , Año 2024 : October-December 2024 (Publicación Continua)
dc.rights.none.fl_str_mv	Juan Martínez-Escudero, Romina Muñoz-Buzeta, Vicente Salinas-Barrera - 2024
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spelling	Martínez-Escudero, JuanMuñoz-Buzeta, RominaSalinas-Barrera, Vicente2025-05-23 00:00:002026-04-16T17:47:35Z2025-05-23 00:00:002025-05-230121-1129https://repositorio.uptc.edu.co/handle/001/2158310.19053/uptc.01211129.v33.n70.2024.180242357-5328https://doi.org/10.19053/uptc.01211129.v33.n70.2024.18024application/pdftext/xmlUniversidad Pedagógica y Tecnológica de ColombiaJuan Martínez-Escudero, Romina Muñoz-Buzeta, Vicente Salinas-Barrera - 2024https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/18024Análisis en tiempo realCinética de biopolímerosCaracterización de biofluidosRespuesta ultrasónicaSoftware de código abiertoTransductores ultrasónicosBiofluid characterizationBiopolymer kineticsOpen-source softwareReal-time analysisUltrasonic responseUltrasonic transducersSoftware de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo realArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85R. Muñoz et al., “Ultrasonic Sensor: A Fast and Non-Destructive System to Measure the Viscosity and Density of Molecular Fluids,” Biosensors (Basel), vol. 14, no. 7, e346, Jul. 2024. https://doi.org/10.3390/bios14070346M. Evander et al., “Noninvasive Acoustic Cell Trapping in a Microfluidic Perfusion System for Online Bioassays,” Analytical Chemistry, vol. 79, no. 7, pp. 2984-2991, Apr. 2007. https://doi.org/10.1021/ac061576vB. Godber et al., “Direct Quantification of Analyte Concentration by Resonant Acoustic Profiling,” Clinical Chemistry, vol. 51, no. 10, pp. 1962-1972, Oct. 2005. https://doi.org/10.1373/clinchem.2005.053249F. Sarry, M. I. Rocha-Gaso, A. Renaudin, D. Beyssen, M. Oudich, P. Charette, “In situ characterization of biofluid using an optimized hybrid acousto-optic sensor array on a microfluidic cell,” in IEEE Sensors, Oct. 2017, pp. 1-3. https://doi.org/10.1109/ICSENS.2017.8234344P. Li, T. J. Huang, “Applications of Acoustofluidics in Bioanalytical Chemistry,” Analytical Chemistry, vol. 91, no. 1, pp. 757-767, Jan. 2019. https://doi.org/10.1021/acs.analchem.8b03786Y. Hou, F. Mao, Y. Wu, Y. Zhu, H. Zhang, “Broadband tunable acoustic impedance matching using gradient-distributed piezoelectric structure,” Applied Physics Letters, vol. 124, no. 15, e203019, Apr. 2024. https://doi.org/10.1063/5.0203019V. Ostasevicius et al., “Development of a Low-Frequency Piezoelectric Ultrasonic Transducer for Biological Tissue Sonication,” Sensors, vol. 23, no. 7, e3608, Mar. 2023. https://doi.org/10.3390/s23073608C. Liu, F. T. Djuth, Q. Zhou, K. K. Shung, “Micromachining techniques in developing high-frequency piezoelectric composite ultrasonic array transducers,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 60, no. 12, pp. 2615-2625, Dec. 2013. https://doi.org/010.1109/TUFFC.2013.2860P. Muralt et al., “Piezoelectric micromachined ultrasonic transducers based on PZT thin films,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 52, no. 12, pp. 2276-2288, Dec. 2005. https://doi.org/10.1109/TUFFC.2005.1563270F. Akasheh, J. D. Fraser, S. Bose, A. Bandyopadhyay, “Piezoelectric micromachined ultrasonic transducers: modeling the influence of structural parameters on device performance,” IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, vol. 52, no. 3, pp. 455-468, Mar. 2005. https://doi.org/10.1109/TUFFC.2005.1417268D. D. Bennink, “Characterization of Ultrasonic Immersion Transducers,” in Review of Progress in Quantitative Nondestructive Evaluation, Boston, MA: Springer US, 1990, pp. 781-788. https://doi.org/10.1007/978-1-4684-5772-8_98S. Takahashi, Y. Sasaki, M. Umeda, K. Nakamura, S. Ueha, “Nonlinear behavior in piezoelectric ceramic transducers,” in 12th IEEE International Symposium on Applications of Ferroelectrics, 2000, pp. 11-16. https://doi.org/10.1109/ISAF.2000.941503E. Riera, J. A. Gallego-Juárez, A. Blanco, V. M. Acosta, “Power characterization of ultrasonic piezoelectric transducers,” in Proceedings of the Interntional Congress on Ultrasonics, Vienna University of Technology, 2007. https://doi.org/10.3728/ICUltrasonics.2007.Vienna.1435_rieraJ. Ling et al., “Design and Characterization of High-Density Ultrasonic Transducer Array,” IEEE Sensors Journal, vol. 18, no. 6, pp. 2285–2290, Mar. 2018. https://doi.org/10.1109/JSEN.2018.2797222A. S. Savoia, B. Mauti, G. Caliano, “Accurate evaluation of the electro-mechanical and parasitic parameters of CMUTs through electrical impedance characterization,” in IEEE International Ultrasonics Symposium (IUS), IEEE, Sep. 2017. https://doi.org/10.1109/ULTSYM.2017.8092910J. M. Pearce, “The Future of Open-Source Hardware and Science,” in Open-Source Lab, Elsevier, 2014, pp. 255-263. https://doi.org/10.1016/B978-0-12-410462-4.00007-XJ. M. Pearce, “Building Research Equipment with Free, Open-Source Hardware,” Science (1979), vol. 337, no. 6100, pp. 1303-1304, Sep. 2012. https://doi.org/10.1126/science.1228183C. Zhang, N. C. Anzalone, R. P. Faria, J. M. Pearce, “Open-Source 3D-Printable Optics Equipment,” PLoS One, vol. 8, no. 3, e59840, Mar. 2013. https://doi.org/10.1371/journal.pone.0059840R. L. Tanner, K. L. Onthank, “Open Source Solutions in Experimental Design: An Introduction to the Symposium,” Integrative and Comparative Biology, vol. 62, no. 4, pp. 1056-1060, Oct. 2022. https://doi.org/10.1093/icb/icac132G. J. Stallman, Free Software, Free Society: Selected Essays of Richard M. Stallman. CreateSpace, 2009.F. L. van Rossum, The Python Language Reference Manual. Network Theory Ltd., 2011.L. J. Koerner, T. A. Caswell, D. B. Allan, S. I. Campbell, “A Python Instrument Control and Data Acquisition Suite for Reproducible Research,” IEEE Transaction on Instrumentation and Measurement, vol. 69, no. 4, pp. 1698-1707, Apr. 2020. https://doi.org/10.1109/TIM.2019.2914711B. Bayram, “Diamond-based capacitive micromachined ultrasonic transducers,” Diamond Related Materials, vol. 22, pp. 6-11, Feb. 2012. https://doi.org/10.1016/j.diamond.2011.11.006B. M. Pardi et al., “pyQCM-BraTaDio: A tool for visualization, data mining, and modelling of Quartz crystal microbalance with dissipation data,” The Journal of Open Source Software, 2023. https://doi.org/10.1101/2023.12.15.571789 .A. Alsabbagh, A. N. Nasser, G. Husi, “Python-Based Data Analysis Tool for a 6-DoF Industrial Robot,” IOP Conference Series: Material Science and Engineering, vol. 568, no. 1, e012098, Aug. 2019. https://doi.org/10.1088/1757-899X/568/1/012098R. Shiavi, “Theory and application of cross correlation and coherence,” in Introduction to Applied Statistical Signal Analysis, Elsevier, 2007, pp. 331-366. https://doi.org/10.1016/B978-012088581-7/50026-1C. R. Harris et al., “Array programming with NumPy,” Nature, vol. 585, no. 7825, pp. 357-362, Sep. 2020. https://doi.org/10.1038/s41586-020-2649-2N. Gilbert, J. Fleming, “Direct form expansion of the transfer function for a digital Butterworth low-pass filter,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 30, no. 6, pp. 1004-1006, Dec. 1982. https://doi.org/10.1109/TASSP.1982.1163993P. Virtanen et al., “SciPy 1.0: fundamental algorithms for scientific computing in Python,” Nature Methods, vol. 17, no. 3, pp. 261-272, Mar. 2020. https://doi.org/10.1038/s41592-019-0686-2J. A. Jones, D. K. Wilkins, L. J. Smith, C. M. Dobson, “Characterisation of protein unfolding by NMR diffusion measurements,” Journal of Biomolecular NMR, vol. 10, no. 2, pp. 199–203, 1997. https://doi.org/10.1023/A:1018304117895J. A. Izaac, J. B. Wang, “pyCTQW: A continuous-time quantum walk simulator on distributed memory computers,” Computer Physics Communication, vol. 186, pp. 81-92, Jan. 2015. https://doi.org/10.1016/j.cpc.2014.09.011N. Wagner, Theory and Applications of Colloidal Suspension Rheology. Cambridge University Press, 2021.M. A. Pindrus, J. L. Cole, J. Kaur, S. J. Shire, S. Yadav, D. S. Kalonia, “Effect of Aggregation on the Hydrodynamic Properties of Bovine Serum Albumin,” Pharmaceutical Research, vol. 34, no. 11, pp. 2250-2259, Nov. 2017. https://doi.org/10.1007/s11095-017-2231-2e1802470e1802433Revista Facultad de Ingenieríahttps://revistas.uptc.edu.co/index.php/ingenieria/article/download/18024/15701https://revistas.uptc.edu.co/index.php/ingenieria/article/download/18024/15746Núm. 70 , Año 2024 : October-December 2024 (Publicación Continua)PublicationOREORE.xmltext/xml2777https://repositorio.uptc.edu.co/bitstreams/338ac16d-c57b-482f-96f5-cedaaa20f2e2/downloadc9aa6b673b06db962ae7314e54402be1MD51falseAnonymousREAD001/21583oai:repositorio.uptc.edu.co:001/215832026-10-29 14:05:26.013https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Software de código abierto para el control y monitoreo de transductores ultrasónicos en biofluidos: almacenamiento local y procesamiento de datos en tiempo real

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